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Guru3D.com » Review » GPU Compute render perf review with 20 GPUs 4

GPU Compute render perf review with 20 GPUs 4

Posted by: Hilbert Hagedoorn on: 02/27/2020 01:02 PM [ 53 comment(s) ]

We will not peek at game performance with graphics cards for a change, instead, we'll be firing of three GPGPU render compute solutions to see how they react towards the twenty graphics cards we fire off at them. What's the best GPU to use for GPU assisted content rendering?

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Tagged as: Radeon, GeForce

« XFX Radeon RX 5600 XT THICC 2 review · GPU Compute render perf review with 20 GPUs · Gigabyte TRX40 Aorus Master review »

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barbacot
Senior Member



Posts: 899
Posted on: 02/27/2020 01:17 PM
People do need to understand that in the world of compute rendering, nothing is as simple as it seems.


I disagree partially... - one thing is very simple: letting aside price, Ray tracing support in the industry, etc RTX 2080Ti is still the king of the hill now - will big navi challenge that? - we'll see.

Hilbert Hagedoorn
Don Vito Corleone



Posts: 46396
Posted on: 02/27/2020 01:22 PM
I disagree partially... - one thing is very simple: letting aside price, support, etc RTX 2080Ti is the king of the hill now - will big navi challenge that? - we'll see.


I did mean that seen from a broad perspective. VRAY only supports CUDA, no OpenCL. So if you planned to run 3Ds Max with VRAY and have a Radeon graphics card, you simpy can't use it. Then Blender offers CUDA for GeForce GTX, and then OptiX for RTX, but not OpenCL for either .. however, OpenCL is the path to use on blender for AMD Radeon cards.

Regardless of it all, anyone is going to select the fastest API available to them.

barbacot
Senior Member



Posts: 899
Posted on: 02/27/2020 01:39 PM
From my point of view it is really a shame that AMD does not adopt CUDA - Yes, Nvidia “owns” and controls the future of CUDA, so it’s not open in the “open source” definition, but it’s certainly free. AMD could develop CUDA enabled drivers when they want and giving the widespread adoption of this technology in high performance computing it would be a gain for everybody. We at wok use only nvidia cards because we use cuda optimized software in our research so the choice (if any) is simple - amd should think that there is a profit to be made from here also even if it is not their proprietary technology.

Pepehl
Junior Member



Posts: 18
Posted on: 02/27/2020 01:49 PM
Great article and very important topic, thank you! GPU rendering is a game changer. Instead of investing in the best CPU, you can buy GPU and add more of them later, rather than building whole new workstation.

I miss RTX 2070 (non super) in the review... would you add it, so the list will be complete?

Small comment on the best value for money being RTX 2060 super. RTX 2070 super has enabled NVLINK (unlike non-super and 2060), which allows you to share/duble memory. This is very important for rendering more complex scenes...

Hilbert Hagedoorn
Don Vito Corleone



Posts: 46396
Posted on: 02/27/2020 02:04 PM
RTX 2070 super has enabled NVLINK (unlike non-super and 2060), which allows you to share/duble memory. This is very important for rendering more complex scenes...


A very valid point yes, thanks for bringing that to my attention. If I can find some time I'll add a regular RTX 2070 as well.

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